Home ITCGlobal impactGeo-healthProjectsTemporal trends and spatial clustering

Temporal trends and spatial clustering

Address a range of global health issues in our online course Geo-Health

TEMPORAL TREND AND SPATIAL CLUSTERING OF CHOLERA EPIDEMIC IN KUMASI-GHANA

Osei, F.B., Stein, A. Temporal trend and spatial clustering of cholera epidemic in Kumasi-Ghana. Sci Rep 8, 17848 (2018). https://doi.org/10.1038/s41598-018-36029-4

Abstract

Knowledge of the temporal trends and spatial patterns will have significant implications for effective preparedness in future epidemics. Our objective was to investigate the temporal trends and the nature of the spatial interaction of cholera incidences, dwelling on an outbreak in the Kumasi Metropolis, Ghana. We developed generalized nonparametric and segmented regression models to describe the epidemic curve. We used the pair correlation function to describe the nature of spatial clustering parameters such as the maximum scale of interaction and the scale of maximal interaction. The epidemic rose suddenly to a peak with 40% daily increments of incidences. The decay, however, was slower with 5% daily reductions. Spatial interaction occurred within 1 km radius. Maximal interaction occurred within 0.3 km, suggesting a household level of interactions. Significant clustering during the first week suggests secondary transmissions sparked the outbreak. The nonparametric and segmented regression models, together with the pair correlation function, contribute to understanding the transmission dynamics. The issue of underreporting remains a challenge we seek to address in future. These findings, however, will have innovative implications for developing preventive measures during future epidemics.

For more information

Related courses

View all programmes
  • Geo-Health - 7EC (online course)

    Geohealth integrates spatial analysis methods and concepts with epidemiology to provide students with skills to address a variety of health and disease analyses.
    Certificate10 weeksFull-time100% English
  • Geo-information Science and Earth Observation

    Are you interested in a career in spatial data science and becoming an Earth Observation or Geographic Information Systems professional and making a meaningful impact in the geospatial field? Join us!
    5 SpecialisationsMaster of Science2 yearsFull-time100% English3 Joint programmes

    Disaster Resilience

    Equip yourself for a safer future.
    MSc2 Joint programmes

    Geospatial Artificial Intelligence (GeoAI)

    Transform your understanding of geospatial data with artificial intelligence.
    MSc3 Joint programmes

    Resource Security

    Empower your career in sustainable resource management
    MSc2 Joint programmes

    Spatial Data Science

    The Spatial Data Science specialisation is designed for students who would like a bit more flexibility can create their own learning pathway to achieve their career goals with the help of a adviser.
    MSc

    Urban and Land Future

    Shape the future of our cities.
    MSc2 Joint programmes